LLNL’s Distributed Implicit Neural Representation (DINR) is a novel approach to 4D time-space reconstruction of dynamic objects. DINR is the first technology to enable 4D imaging of dynamic objects at sufficiently high spatial and temporal resolutions that are necessary for real world medical and industrial applications.
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![structures created using method for producing laser gain media by atomic layer deposition](/sites/default/files/styles/scale_exact_400x400_/public/2024-05/structures%20created%20using%20IL-13529.png?itok=avGMNFzj)
Powder atomic layer deposition process is used to coat nanopowders of host materials (e.g. yttrium aluminum garnet) with optically active neodymium organometal precursor followed by O2/O3 RF plasma to convert to a single layer of Nd2O3. The process can be repeated to build arbitrarily thick layers with custom doping profiles and followed by post-…
![CT Scanner Adobe Stock Image](/sites/default/files/styles/scale_exact_400x400_/public/2024-03/CT%20Scanner.jpeg?itok=tHCxNWpA)
The essence of this invention is a method that couples network architecture using neural implicit representations coupled with a novel parametric motion field to perform limited angle 4D-CT reconstruction of deforming scenes.
![Laser peening induces deep compressive stress, which significantly extends the service lifetime over any conventional treatment](/sites/default/files/styles/scale_exact_400x400_/public/2024-02/laser%20peening%20inducing%20deep%20compressive%20stress.png?itok=oMzDBpkP)
This invention proposes using a pulse laser configured to generate laser pulses and a controller for controlling operation of the pulse laser. The controller is further configured to control the pulse laser to cause the pulse laser to generate at least one of the laser pulses with a spatiotemporally varying laser fluence over a duration of at least one of the laser pulses. The spatiotemporally…
![multi-spectral nondestructive characterization of in-shell tree nuts](/sites/default/files/styles/scale_exact_400x400_/public/2023-11/multi-spectral%20nondestructive%20characterization%20of%20in-shell%20tree%20nuts.png?itok=-W2LFRIH)
LLNL’s novel technology automates the inspection process by using a scanning system that captures data within the walnut shell without having to open the shell. The system output gives a visual image inside the walnut shell sufficient to evaluate and rate the quality of the walnut. The system uses a camara and radar that can capture data at a rapid rate. This improves speed and reliability…
![solid state streak detector](/sites/default/files/styles/scale_exact_400x400_/public/2023-10/Solid%20State%20Streak%20Detector.png?itok=4t6vjY-r)
The approach is to develop a solid-state X-ray imager based on the architecture of the Silicon Drift Detector (SDD) which uses a series of cathode strips on both sides of a silicon wafer to achieve bulk depletion and electron drift. The invention leverages this SDD functionality to achieve signal stretching of liberated charge carriers from X-Ray photons that converts the time domain into the…
![Schematic of LLNL’s Fast Image Acquisition System](/sites/default/files/styles/scale_exact_400x400_/public/2023-06/Fast%20Image%20Acqusition%20System.png?itok=HFyr-Goi)
LLNL’s novel approach is to use a continuous moving camera with a scan speed of >1 mm/sec and a frame rate of 100 frames per second. The key is to have a light source that flashes with a duration of one nanosecond, thus essentially freezing the image with no blur. Clear images of high resolution can then be captured through a high-magnification objective lens (reflection mode) or through…
![3DQ Concept: Use two 2D detectors to enable detection of 3D position for the same event.](/sites/default/files/styles/scale_exact_400x400_/public/2023-05/3DQ%20Concept.png?itok=hPgLZTTl)
LLNL’s approach to the development of a wide-field, three-dimensional quantum (3DQ) microscope is to harness quantum entangled photons to form simultaneous 3D optical images, which could be a new paradigm for 3D volumetric imaging of biological specimens. The 3DQ microscope is comprised of a novel optical system with highly sensitive detectors and an on-demand light source of entangled…
![The image is a montage of an artist’s depiction of a liposomal drug carrier studded with carbon nanotube porins that is docking to a cancer cell surface and delivering chemotherapy cargo with a fluorescence microscopy image of stained cells exposed to these carriers. The red stain indicates that the cells are dead and the treatment was successful. Images by P. Lastrico of MPI and N.T. Ho and A. Noy of LLNL.](/sites/default/files/styles/scale_exact_400x400_/public/2023-05/liposomal%20drug%20carrier%20with%20CNT%20porins.jpg?itok=HvCCyUTI)
To address shortcomings of current liposome drug delivery systems, the patented innovation uses drug-loaded liposomes containing carbon nanotube porins (CNTPs) inserted into the liposomal membranes for the delivery of the encapsulated drugs. Short CNTPs (10 nm in length) with narrow diameter (0.8 nm) has been demonstrated to facilitate efficient fusion of lipid bilayers resulting in the…
![SEM image of iron-sulfide spheres](/sites/default/files/styles/scale_exact_400x400_/public/2023-05/iron-sulfide%20spheres.jpg?itok=X03OXhag)
A new approach of developing synthetic antibacterial mineral assemblages can be used as an alternative treatment when traditional antibiotics fail in clinical and agricultural settings. Mineral mixtures can be synthesized with tunable metal release and reactive oxygen species generation that are capable of killing human pathogens and promoting wound healing. One of the key components in the…
![novel thiacrown ethers for isolating of 197gHg and 197m,gHg](/sites/default/files/styles/scale_exact_400x400_/public/2023-05/novel%20thiacrown%20ether.png?itok=afjvUtSX)
The method described in a pending patent application uses a novel thiacrown (dibenzohexathia-18-crown-6) for efficient extraction of 197m,gHg and 197gHg from irradiated Pt target foils. The separation of 197m,gHg and 197gHg from Pt foils using this novel thiacrown was found to be highly specific. No detectable amount of the Pt foil was seen in the…
![High Density Protein Translation System: Nanotubes used to greatly increase the density of ribosomes on a surface by adding a third dimension (height) to enable multiple ribosomal attachment sites.](/sites/default/files/styles/scale_exact_400x400_/public/2023-04/High%20Density%20Protein%20Translation%20System.png?itok=zerUPjta)
Combining the principles of nanotechnology, cell-free protein synthesis and microfluidics, LLNL researchers have developed a reusable, portable programmable system that can create purified, concentrated protein product in vitro in a microfluidic device containing nucleic acids.
![AI Innovation Incubator](/sites/default/files/styles/scale_exact_400x400_/public/2022-01/AI%20Innovation%20Incubator.jpg?itok=B8jcKPOy)
Lawrence Livermore National Laboratory (LLNL) is offering the opportunity to collaborate in accelerating artificial intelligence (AI) for applied science, including research in key areas such as advanced material design, 3D printing, predictive biology, energy systems, “self-driving” lasers and fusion energy research.
![Livermore Tomography Tools LTT](/sites/default/files/styles/scale_exact_400x400_/public/2022-06/LTT.jpg?itok=cQE9Kpef)
To solve these challenges using new and existing CT system designs, LLNL has developed an innovative software package for CT data processing and reconstruction. Livermore Tomography Tools (LTT) is a modern integrated software package that includes all aspects of CT modeling, simulation, reconstruction, and analysis algorithms based on the latest research in the field. LTT contains the most…
![Catalyst HPC cluster](/sites/default/files/styles/scale_exact_400x400_/public/2022-06/Catalyst%20HPC%20cluster.jpg?itok=k9uYS5xL)
Clinical images have a wealth of data that are currently untapped by physicians and machine learning (ML) methods alike. Most ML methods require more data than is available to sufficiently train them. In order to obtain all data contained in a clinical image, it is imperative to be able to utilize multimodal, or various types of, data such as tags or identifications, especially where spatial…
![medical_x-rays_x-ray_tech](/sites/default/files/styles/scale_exact_400x400_/public/2022-06/medical_x-rays_x-ray_tech_1.jpg?itok=kn0J-DkH)
Some COVID-19 diagnoses are utilizing computed tomography (CT)-scans for triage. CT-scans produce immediate results with high sensitivity. The digital images produced by a CT-scan require physicians to identify objects within the image to determine the presence of disease. Object identification can be done using machine learning (ML) techniques such as deep learning (DL) to improve speed and…
![MimicGAN data set example](/sites/default/files/styles/scale_exact_400x400_/public/2020-05/mimicgan_robustness_to_rotation.png?itok=yacM18ra)
MimicGAN represents a new generation of methods that can “self-correct” for unseen corruptions in the data out in the field. This is particularly useful for systems that need to be deployed autonomously without needing constant intervention such as Automated Driver Assistance Systems. MimicGAN achieves this by treating every test sample as “corrupt” by default. The goal is to determine (a) the…
![blue bacteria](/sites/default/files/styles/scale_exact_400x400_/public/2022-07/blue%20bacteria.jpg?itok=ddcclBXg)
LLNL scientists developed novel hydrogels, which are biodegradable soft materials synthesized by a water-soluble polymer. Incorporating silver imparts antimicrobial activity to the material at low concentration compared to currently used silver nanoparticles. Our hydrogels are composed of silver ions instead of silver nanoparticles, which eliminates the toxicity concerns of modern silver…
![creation of ultra-high energy density matter by an intense laser pulse](/sites/default/files/styles/scale_exact_400x400_/public/2022-06/laser_update875.jpg?itok=793sEzmU)
![Livermore Tomography Tools LTT](/sites/default/files/styles/scale_exact_400x400_/public/2022-06/LTT.jpg?itok=cQE9Kpef)
LLNL's 3D X-ray imager combines two different hardware pieces. The first is an x-ray optic with a depth-of-field that is small compared to the object under investigation. Reflective Wolter type x-ray optics are one such design. These hollow optics have a relatively large collection efficiency and can be designed with a large field of view. The depth of focus, which is the distance over which a…
![medical_x-rays_x-ray_tech](/sites/default/files/styles/scale_exact_400x400_/public/2022-06/medical_x-rays_x-ray_tech_1.jpg?itok=kn0J-DkH)
LLNL has developed a new system, called the Segmentation Ensembles System, that provides a simple and general way to fuse high-level and low-level information and leads to a substantial increase in overall performance of digital image analysis. LLNL researchers have demonstrated the effectiveness of the approach on applications ranging from automatic threat detection for airport security, to…
![Marine helmet](/sites/default/files/styles/scale_exact_400x400_/public/2022-06/Marine%20helmet-inside.jpg?itok=8W_dqpgI)
LLNL's high fidelity hydrocode is capable of predicting blast loads and directly coupling those loads to structures to predict a mechanical response. By combining this code and our expertise in modeling blast-structure interaction and damage, along with our access to experimental data and testing facilities, we can contribute to the design of protective equipment that can better mitigate the…
![Laser Peening](/sites/default/files/styles/scale_exact_400x400_/public/2022-06/Laser%20peening.jpg?itok=l2OKtGme)
LLNL’s system consists of one or more flashlamp-pumped Nd:glass zig-zag amplifiers, a very low threshold stimulated-Brillouin-scattering (SBS) phase conjugator system, and a free-running single frequency Nd:YLF master oscillator.
![nuclear reactor](/sites/default/files/styles/scale_exact_400x400_/public/2022-06/nuclear%20reactor.jpg?itok=RMgGfrZv)
The new LLNL technique works by transiently removing and trapping concrete or rock surface material, so that contaminants are confined in a manner that is easy to isolate and remove. Our studies suggest that 10 m2 of surface could be processed per hour. The technique easily scales to more surface/hr.